Unlock AI Power: OpenVINO 2022.2 Highlights

Find AI Tools
No difficulty
No complicated process
Find ai tools

Unlock AI Power: OpenVINO 2022.2 Highlights

Table of Contents

  1. Introduction
  2. OpenVINO Toolkit 2022.2
  3. Performance Boost and Automatic Device Discovery
  4. OpenVINO Integration with ONNX Runtime
  5. Intel FPGA AI Suite Support
  6. Bug Fixes and Enhancements
  7. Intel Innovation 2022 Event
  8. Conclusion
  9. Resources

Introduction

As the host, Jerry Makare, announces the October episode of IDZ News, he provides an overview of the topics that will be discussed. The episode begins by introducing the latest release of OpenVINO toolkit, version 2022.2. This release brings significant improvements and additions, including support for Intel's 13th Gen Core Processor and preview support for Intel's discrete graphics cards.

OpenVINO Toolkit 2022.2

The newest release of the OpenVINO toolkit, version 2022.2, offers several exciting features and enhancements that empower developers to optimize their AI models and applications. Let's explore the key highlights of this release:

Support for Intel 13th Gen Core Processor

With the code-named Raptor Lake, the OpenVINO toolkit now supports the Intel 13th Gen Core Processor for desktop. This support provides developers with enhanced performance capabilities and compatibility.

Preview support for Intel's discrete graphics cards

OpenVINO toolkit 2022.2 introduces preview support for Intel's discrete graphics cards, including the Intel Data Center GPU Flex Series and Intel Arc GPU for DL inferencing workloads. This opens up new possibilities for AI inference in intelligent cloud, edge, and media analytics workloads.

Test your model performance with preview support for Intel 4th Generation Xeon processors

For developers working with Intel 4th Generation Xeon processors (Sapphire Rapids), the OpenVINO toolkit offers preview support to test and optimize model performance. This feature enables efficient inference on cutting-edge hardware.

Broader support for NLP models and use cases

OpenVINO toolkit 2022.2 comes with broader support for Natural Language Processing (NLP) models and use cases, such as Text-to-Speech and voice recognition. Developers can leverage the toolkit's capabilities to build advanced NLP applications with improved efficiency.

Improved efficiency for NLP applications

Reduced memory consumption when using Dynamic Input Shapes on CPU enhances the efficiency of NLP applications in the OpenVINO toolkit. This optimization allows developers to better utilize system resources, resulting in faster and more efficient NLP processing.

Frameworks and integrations enhancements

The OpenVINO toolkit provides developers with more options for seamless integration with popular frameworks. Some of the notable enhancements in this release include:

  • OpenVINO Execution Provider for ONNX Runtime: This integration allows ONNX Runtime developers to optimize their models using OpenVINO with minimal code changes.
  • Accelerated PyTorch models with ONNX Runtime using OpenVINO integration with ONNX Runtime for PyTorch (OpenVINO Torch-ORT): PyTorch developers can benefit from OpenVINO's performance gains without needing to switch frameworks.
  • OpenVINO Integration with TensorFlow: This integration now supports more deep learning models, providing improved inferencing performance for TensorFlow users.

These enhancements reinforce the OpenVINO toolkit's commitment to making AI development more accessible and efficient across various frameworks and integrations.

Performance Boost and Automatic Device Discovery

In OpenVINO toolkit 2022.2, developers can expect a significant performance boost thanks to various improvements. Automatic device discovery, load balancing, and dynamic inference parallelism across CPU, GPU, and other accelerators ensure that inference tasks are efficiently distributed for optimal performance. Additionally, the introduction of a new performance hint called "Cumulative throughput" in the AUTO device mode allows multiple accelerators (e.g., multiple GPUs) to be utilized simultaneously, maximizing inferencing performance.

OpenVINO Integration with ONNX Runtime

Developers using ONNX Runtime can leverage the OpenVINO integration for enhanced performance. By integrating OpenVINO with ONNX Runtime, PyTorch models can be accelerated, and performance gains can be achieved without leaving the PyTorch framework. This integration ensures that developers can utilize the power of OpenVINO while staying within their familiar development environment.

Intel FPGA AI Suite Support

With OpenVINO toolkit 2022.2, developers can benefit from Intel FPGA AI Suite support. This support enables real-time, low-latency, and low-power deep learning inference. The suite provides an easy-to-use Package for developers to deploy AI models on Intel FPGAs, unlocking exceptional performance capabilities.

Bug Fixes and Enhancements

Apart from the new features and improvements, OpenVINO toolkit 2022.2 includes a plethora of bug fixes and enhancements. These optimizations further enhance the stability and reliability of the toolkit, ensuring a smooth development experience.

Intel Innovation 2022 Event

In addition to the OpenVINO toolkit release, Jerry mentions the recent Intel Innovation 2022 event. The event featured keynote addresses from Intel CEO Pat Gelsinger and CTO Greg Lavender, along with industry guests and leaders showcasing the power of an open ecosystem. Keynotes and recorded Sessions on various topics, including Artificial Intelligence, machine learning, cloud computing, network and edge, and security, can be accessed on the Intel Innovation 2022 site. Specifically, the day 2 keynote featuring CTO Greg Lavender might be of particular interest to the audience.

Conclusion

With the release of OpenVINO toolkit 2022.2, developers have access to an array of new features, enhanced performance capabilities, and improved integrations. The OpenVINO toolkit continues to evolve, empowering developers to optimize their AI models and applications for various hardware platforms. Stay updated with the latest advancements in the field of AI by subscribing to the Intel Software YouTube Channel and tuning in to future episodes of IDZ News!

Resources

Most people like

Are you spending too much time looking for ai tools?
App rating
4.9
AI Tools
100k+
Trusted Users
5000+
WHY YOU SHOULD CHOOSE TOOLIFY

TOOLIFY is the best ai tool source.

Browse More Content